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The mission of the Leibniz Centre for Agricultural Landscape Research (ZALF) as a nationally and internationally active research institute is to deliver solutions for an ecologically, economically and socially sustainable agriculture – together with society. ZALF is a member of the Leibniz...
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in a relevant subject area (e.g., Atmospheric Science, Climate Modelling, Mathematics, Physics, or related field), numerical modelling experience, and a good scientific publication record appropriate
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cumulative PhD thesis and supervising MA students Requirements: PhD or Master’s Degree in Physics, Engineering, Economics, Environmental Sciences, Mathematics, Computational Sciences or a related field
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PhD candidate. We are looking for a person with a background in (bio-) statistics, mathematics or related disciplines who is interested in longitudinal data analysis, causal inference and applications
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doctorate in mathematics as well as experience in the field of analysis for partial differential equations. The applicant should have the willingness to take on responsibility for interdisciplinary projects
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education as well as a doctorate in the field of mathematics or equivalent experience. We are seeking outstanding scientists in research fields of statistics, machine learning, or optimization. Very good
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approaches. Publish results in high-impact journals. Your qualifications and skills: You hold a Master's degree (or equivalent) in mathematics, statistics, biostatistics, bioinformatics, plant breeding
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The Leibniz Institute for Solid State and Materials Research Dresden e. V. (IFW Dresden) conducts modern materials research on a scientific basis for the development of new and sustainable materials and technologies. The institute employs an average of 500 people from over 40 nations and, in...
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agronomy, agricultural engineering, geography, mathematics, physics or similar good knowledge of process-based crop modelling (e.g. DSSAT, APSIM, WOFOST, …) computer programming or scripting skills in (e.g
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agronomy, agricultural engineering, geography, mathematics, physics or similar good knowledge of process-based crop modelling (e.g. DSSAT, APSIM, WOFOST, …) computer programming or scripting skills in (e.g